Computer Science ›› 2015, Vol. 42 ›› Issue (10): 321-324.

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Real-time Detection and Recognition for Large Numbers of Less-texture Objects

TAO Jun, LIU Jian-ming, WANG Ming-wen and WAN Jian-yi   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The existing objects detection methods can not achieve real-time detection and identification when the object classes are too many.To solve the problem,a real-time detection and recognition algorithm on many classes and texture-less objects was put forward.The new algorithm is based on Objectness and gradient direction template.Firstly,it eva-luates the potential objects by computing its Objectness value,which can decrease many matching windows.Then in the area where the objects may appear,it detects and recognizes the texture-less objects in many classes using the template matching method based on the main direction of template and lookup table.The robustness of this algorithm to the texture-less object is better.And the algorithm is orientation independent in the process of matching.

Key words: Less-texture,Template matching,Robustness,Orientation independent

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